{"id":"W2610119122","doi":"","title":"Chaos, order and uncertainty when writing narrative for animation","year":2017,"lang":"en","type":"dissertation","venue":"Minerva Access (University of Melbourne)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Melbourne; McGill University","keywords":"Narrative; Animation; Order (exchange); Computer science; CHAOS (operating system); Computer graphics (images); Art; Literature; Computer security; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00888673,0.000600333,0.0004192714,0.001295787,0.005227991,0.0165751,0.0009882824,0.001716155,0.003485721],"category_scores_gemma":[0.04571849,0.0005713149,0.0003869208,0.0008531607,0.01339812,0.01119678,0.006531176,0.003343503,0.0006337515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002473505,"about_ca_system_score_gemma":0.00245808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072236,"about_ca_topic_score_gemma":0.00269805,"domain_scores_codex":[0.9807541,0.0148915,0.0005953966,0.0007131535,0.002438111,0.0006076253],"domain_scores_gemma":[0.9754432,0.01985248,0.001313747,0.001507094,0.001008647,0.0008748407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002346518,0.00009541762,0.003888241,0.0005699524,0.00003904907,0.0007338088,0.6033604,0.001991665,0.004973514,0.2973423,0.004317963,0.08245318],"study_design_scores_gemma":[0.00009235844,0.0002587713,0.005253668,0.00153756,0.00009038741,0.002248651,0.3372504,0.008615965,0.01134155,0.3132741,0.3198555,0.0001812094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4392555,0.00483785,0.1759249,0.01877862,0.0009593182,0.0005398394,0.0001259194,0.0005018701,0.3590761],"genre_scores_gemma":[0.9584688,0.0008844226,0.03026885,0.0003765078,0.00006503538,0.0001979926,0.00004042651,0.0001744073,0.00952354],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0165751,"threshold_uncertainty_score":0.04699808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05213686852786371,"score_gpt":0.3185787041966902,"score_spread":0.2664418356688265,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}